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MECCSA-PGN  January 2020

MECCSA-PGN January 2020

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Subject:

Social Data Science Week at the Cathie Marsh Institute

From:

CMI Short Courses <[log in to unmask]>

Reply-To:

CMI Short Courses <[log in to unmask]>

Date:

Tue, 21 Jan 2020 12:24:00 +0000

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[cid:image001.jpg@01D5D055.A8A4AE20]

The Cathie Marsh Institute and methods@manchester are pleased to announce a brand new week of courses in Social Data Science.

These courses have been designed for postgraduate researchers, giving you the tools to make use of free and open-source software, and techniques from the cutting-edge new discipline of social data science.

Introduction to Python<https://www.cmi.manchester.ac.uk/study/short/introductory/introduction-to-python> (24 February)

A hands-on introduction to the Python programming language and creating your own Python environment. After completion of this workshop, the participant will be in a position to create their own Python environment and have confidence in using it to produce small effective Python programs for a variety of data cleaning, analysis and visualisation tasks required by their research.

Introduction to SQL<https://www.cmi.manchester.ac.uk/study/short/introductory/introduction-to-sql> (25 February)

This course is ideal for any researcher with large amounts of data in need of pre-processing before further analysis. Find out how the free software MySQL can help you store, clean, reduce, and summarise your data; you'll also learn how SQL can work alongside other tools such as Python, R, or Excel.

Introduction to QGIS<https://www.cmi.manchester.ac.uk/study/short/introductory/introduction-to-qgis> (26 February)

Our first ever QGIS training! This course will introduce attendees to QGIS, an open piece of software used for handling, visualising, exploring and analysing geographic information. Have a look at this Flickr group<https://www.flickr.com/groups/qgis/pool/> or search #GIS<https://twitter.com/search?q=%23gis&src=typed_query> on Twitter for examples of the beautiful maps users have created with QGIS.

Machine Learning with Python<https://www.cmi.manchester.ac.uk/study/short/introductory/machine-learning-with-python> (27 February)

Find out how to use machine learning algorithms to gain new insights into your data. This is an intermediate course, designed for Python users to build skills in data analysis using different types of machine learning algorithms.

Social Media Data Analysis<https://www.cmi.manchester.ac.uk/study/short/introductory/social-media-data-analysis/> (28 February)

Taught by the creator of the free software Mozdeh<http://mozdeh.wlv.ac.uk/>, this popular course is unmissable for anyone working with data from Twitter or YouTube. You'll learn how to gather social media texts, gain insights into topics of discussion, and identify trends with simple data mining techniques. Learn more about Mozdeh here<https://ocean.sagepub.com/research-tools-database/mozdeh>.


To book your place on any of our courses, follow the links above or click here<https://www.cmi.manchester.ac.uk/study/short/list/>.


methods@manchester

Social Data Science Week is presented in collaboration with methods@manchester<https://www.methods.manchester.ac.uk/>, an initiative highlighting Manchester's strength in research methods in the social sciences and promoting interdisciplinary and innovative methodological developments.

PGR students in Humanities at The University of Manchester can apply for a methods@manchester bursary to attend CMI short courses throughout the year.

Bursaries are not guaranteed, and applications are considered on a case-by-case basis. Applicants will be required to provide a supporting statement from their supervisor. Visit the short courses website<https://www.cmi.manchester.ac.uk/study/short/list/> to book a place; once your place has been confirmed, contact [log in to unmask]<mailto:[log in to unmask]> for a bursary application form. Applications must be received at least two weeks in advance of the course date.


Don't forget to follow us on Twitter<https://twitter.com/cmi_courses>, Facebook<https://www.facebook.com/cmishortcourses/> or our new LinkedIn<https://www.linkedin.com/company/cmicourses/> page for the latest news, events and announcements about short courses at the Cathie Marsh Institute.



Dr Laura Swift | Short Courses Administrator | Cathie Marsh Institute | [log in to unmask]<mailto:[log in to unmask]> | 0161 275 1980 | https://www.cmi.manchester.ac.uk/study/short/ | @cmi_courses<https://twitter.com/cmi_courses>


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